Case study
AI chatbot for geothermal permit applications
We built an AI chatbot for Herrljunga municipality that guides citizens through geothermal permit applications via chat, interactive maps, and automated geographic validation.
AI strategy for businesses
Build an AI strategy you can actually execute
We help you move from scattered AI ideas to a clear plan with prioritized initiatives, a realistic roadmap, and practical next steps for pilots or implementation. The focus is business value, risk, and internal alignment.
Process - How we define an AI strategy
We work step by step so you end up with a strategy that can be turned into real initiatives, not just a slide deck.
- Current state and target outcome.
We start with your business goals, operational bottlenecks, and the decisions you need to make faster or with better quality. - Interviews and workshop.
Together with key stakeholders, we identify use cases, dependencies, compliance concerns, and what must be true for AI to work in day-to-day operations. - Use case prioritization.
We weigh business value against data quality, integration needs, implementation effort, and risk to define the right order of execution. - Roadmap and governance.
You get a practical roadmap with recommended pilots, ownership, relevant data sources, integration needs, and guidelines for quality, risk, and internal adoption. - Pilot and implementation planning.
Once the strategy is clear, we can help you scope a pilot or move directly into implementation with the right team, systems, and delivery approach.
From AI ideas to prioritized initiatives
A good AI strategy is not a long list of ideas. It should help you decide where AI creates value, what needs to be in place, and which initiatives should come first.
- AI maturity assessment and current-state mapping. We review your processes, systems, data flows, and current ways of working to understand where you are today and what may block implementation.
- Workshops for business goals and use cases. Together we identify use cases where AI can reduce manual work, improve decisions, or create a better customer experience. The focus is business value, not technology for its own sake.
- Prioritization based on impact, risk, and feasibility. We help you choose the right initiatives first, so you can start with ideas that are testable, realistic, and clearly connected to ROI.
- Roadmap, ownership, and next steps. You get a practical plan for pilots, implementation, and rollout. We also clarify the data, integration, and governance questions that need attention.
Previous projects
We work with companies across industries. Read our previous projects and what outcomes the solutions delivered in practice.
Frequently asked questions about AI strategy
Here are answers to common questions from companies that want to move forward with AI in a structured way.
What is included in an AI strategy?
A solid AI strategy should include business goals, prioritized use cases, an assessment of data and system readiness, risk considerations, ownership, and a practical roadmap for pilots and implementation.
When do you need an AI strategy?
It is especially useful when multiple teams have AI ideas at the same time, when you want to avoid scattered initiatives with unclear value, or when you need to make decisions about investment, governance, and implementation order.
What do we get at the end of the process?
You get a prioritized set of relevant use cases, recommendations for where to start, and a practical next-step plan. This often includes guidance on data sources, integrations, governance, and internal roles.
How long does AI strategy work usually take?
A first AI workshop and current-state assessment can often be completed within 1-2 weeks. A broader strategy engagement with interviews, prioritization, and roadmap work typically takes 2-5 weeks depending on company size and complexity.
Do we need all our data and systems in place already?
No. One of the key goals of the strategy work is to understand what is already available, what is missing, and which dependencies need to be resolved before larger investments are made.
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